Universal Sensorless Vector Control of Induction and Permanent-Magnet Synchronous Motors Considering Equivalent Iron Loss Resistance

Yamamoto, S.; Hirahara, Hideaki; Ara, Takahiro; Matsuse, Kouki

doi:10.1109/tia.2014.2360962

Cited by 41 publications

(8 citation statements)

References 12 publications

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“…When iron loss in AC motors is examined in simple terms using an equivalent circuit, an equivalent iron loss resistance R c is connected in parallel to induced voltage, and power consumed by R c is considered iron loss. 20,21 Thus, stator current i s is divided into magnetizing current i o (contributing to output (torque)) and iron loss current i c . Therefore, AC motor's circuit equations with regard to iron loss can be written using the vectors of stator (armature) voltage v s , stator current i s , induced voltage v o , and iron loss current i c , as shown below.…”

Section: Mathematical Model Of Ipmsm With Regard For Iron Lossmentioning

confidence: 99%

A reference stator flux linkage calculation method for realizing maximum efficiency operation in direct‐torque‐controlled IPMSM drives

Shinohara,

Maemura,

Yamamoto

2024

Electrical Engineering Japan

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In this paper, a reference stator flux linkage calculation method is proposed for realizing maximum efficiency operation in direct‐torque‐controlled interior permanent magnet synchronous motor (IPMSM) drives. The proposed method is based on the solutions of a quartic equation, a motor model in the d‐q rotating frame widely used for synchronous motor controllers, and a well‐known equation for maximum efficiency operation. Therefore, the proposed method uses neither any approximation function nor any look‐up table that depends on the parameters of the motor, which has to be created in advance. Simulation results validate that the proposed methods can achieve maximum efficiency operation in IPMSM drives.

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Section: Mathematical Model Of Ipmsm With Regard For Iron Lossmentioning

confidence: 99%

A reference stator flux linkage calculation method for realizing maximum efficiency operation in direct‐torque‐controlled IPMSM drives

Shinohara,

Maemura,

Yamamoto

2024

Electrical Engineering Japan

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“…The stator current excitation functions are derived as (5) and (6). The transfer function of the stator voltage to the rotor flux is the product of the driving point admittance function (3) or (4) and the corresponding stator current excitation function (5) or (6).…”

Section: Input Matrix Bmentioning

confidence: 99%

“…Motor control systems characterized with high-speed and high-efficiency are needed in centrifugal equipment and electric vehicles [1,2]. As an important part of the model parameters and motor losses, iron-loss (ILS) affects the flux observation [3], parameter identification [4], real-time torque and speed control [5], speed sensor less control [6] accuracy and efficiency optimal control [7,8], and, to some extent, performance.…”

Section: Introductionmentioning

confidence: 99%

Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives

Wang

Huai

et al. 2019

Energies

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In a variety of motor models, the effects of iron-loss (ILS) on motor control accuracy and efficiency are generally ignored. This makes it difficult for the motor control system to obtain accurate control parameters (especially on high speed and low load conditions), and limits the improvement of motor control accuracy. This paper aims to clarify the influence of different ILS modeling and observation methods on motor control performance. Three equivalent models of motors with iron losses are compared. These models are: A parallel model, a series model and the simplified traditional model. Three tests are conducted to obtain the effect of ILS perturbation on ILS estimation results, and then to derive the sensitivity of the motor state and torque to the perturbation. These test conditions include: Ideal no-load, heavy-load, locked-rotor, and ILS perturbations during speed regulation. Simulation results show that the impedance and excitation characteristics of the series model and the parallel model are similar, and the traditional model has the best speed regulation smoothness. The ILS estimation errors of the series model is nearly constant and easy to compensate. For accurate ILS observation results, the series model can achieve better control accuracy.

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“…Nowadays, most electric drives are often equipped with AC induction machines (IM) or permanent magnet synchronous motors (PMSM). IM drives are commonly used because of their availability and cost-effectiveness, but it lags fairly behind efficiency and performance than the PMSM [1], [2]. As a result, the PMSM drive is considered a more practical choice for traction and other industrial applications.…”

Section: Introductionmentioning

confidence: 99%

A Synchronized Current Difference Updating Technique for Model-Free Predictive Current Control of PMSM Drives

Agustin¹,

Yu²,

Cheng³

et al. 2021

IEEE Access

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Model-free predictive current control (MFPCC) is a promising substitute for model predictive current control (MPCC). However, the performance of the MFPCC, to a large extent, hinges on the update frequency of its lookup table. Conventionally, the update is only performed when two successive switching states applied by the controller are identical, causing a stagnation problem to the current difference of those switching states that are not applied. To address the stagnation problem, this paper proposes a novel mechanism called synchronized current difference update for model-free predictive current control (SCDU-MFPCC). The presented scheme uses the model of permanent-magnet synchronous motor (PMSM) to construct equivalent differential stator currents corresponding to seven basic voltage vectors. To that end, current slope will be defined from the current difference of two successively applied voltage vectors. An updating factor associated with the current slope is then introduced into the prediction scheme to correct the enforced response of all switching states. This scheme is applied on every current measurement to update the stored information regardless of the successive switching states applied are distinct or not. Finally, experiments are conducted to assess the performance of the new approach using a TMS320F28379D microcontroller. Experimental results demonstrate that the proposed method substantially reduces the stagnation effect under steady-state and dynamic operations.

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Universal Sensorless Vector Control of Induction and Permanent-Magnet Synchronous Motors Considering Equivalent Iron Loss Resistance

Cited by 41 publications

References 12 publications

A reference stator flux linkage calculation method for realizing maximum efficiency operation in direct‐torque‐controlled IPMSM drives

A reference stator flux linkage calculation method for realizing maximum efficiency operation in direct‐torque‐controlled IPMSM drives

Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives

A Synchronized Current Difference Updating Technique for Model-Free Predictive Current Control of PMSM Drives

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